Kühn, BernhardCayetano, ArjayFincham, Jennifer I.Moustahfid, HassanSokolova, MariaTrifonova, NedaWatson, Jordan T.Fernandes-Salvador, jose A.Uusitalo, Laura2025-05-122025-05-122025-04-03Kühn, B, Cayetano, A, Fincham, J I, Moustahfid, H, Sokolova, M, Trifonova, N, Watson, J T, Fernandes-Salvador, J A & Uusitalo, L 2025, 'Machine Learning Applications for Fisheries : At Scales from Genomics to Ecosystems', Reviews in Fisheries Science and Aquaculture, vol. 33, no. 2, pp. 334-357. https://doi.org/10.1080/23308249.2024.24231892330-8249https://hdl.handle.net/2164/25384We would like to thank all members of ICES WGMLEARN working group for the discussions that helped in shaping this review. Particular thanks to the chairs Ketil Malde and Jean-Olivier Irisson for their invitation to the topic and general support and comments of Sven Kupschus on the initial ideas of this review. Neither the European Union nor the granting authority can be held responsible for them.243174160engSDG 14 - Life Below WaterMarine sciencemonitoringmanagementQH301 BiologySH Aquaculture. Fisheries. AnglingSupplementary InformationQH301SHJournal article10.1080/23308249.2024.2423189332